User Satisfaction based Quantification of Direct Trust in T-Grid Computational Model

Grid computing provides collaborative sharing of resources among the peers across the world. There are various types of resources in a grid at different capacities such as computing, storage, and instruments. Security plays a vital role in setting up a grid and to preserve its resources. Further, trust also plays a vital role in building a confidence level in sharing the resources. T-Grid is the model proposed to evaluate the trust by applying fuzzy rules on direct trust and indirect trust, relatively using new approaches. One such approach in this direction is quantification of direct trust. Quantification of direct trust in this T-Grid model is assumed to be dependent on satisfaction of requester, which is based on two factors satisfaction due to availability and satisfaction due to reliability. And, indirect trust is chosen due to recommendations or feedbacks received from the user and/or recommenders in the system. This paper proposes a satisfaction based approach of quantification of direct trust in T-Grid computational model. The performance evaluation of the proposed model is done using the parameters like trustworthiness of the resources, and resource utilization. The results also indicate that, in spite of maintaining the balance in the resource utilization, highly trusted resources are selected for grid services.